Fast k-nearest-neighbor search based on projection and triangular inequality
Pattern Recognition
Reversible steganographic method using SMVQ approach based on declustering
Information Sciences: an International Journal
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
Joint coding and embedding techniques for multimedia images
Information Sciences: an International Journal
An embedding technique based upon block prediction
Journal of Systems and Software
Search-order coding method with indicator-elimination property
Journal of Systems and Software
An improved lossless data hiding scheme based on image VQ-index residual value coding
Journal of Systems and Software
Reversible data hiding of a VQ index table based on referred counts
Journal of Visual Communication and Image Representation
A novel encoding algorithm for vector quantization using transformed codebook
Pattern Recognition
An image zooming technique based on vector quantization approximation
Image and Vision Computing
Image and Vision Computing
High capacity SMVQ-based hiding scheme using adaptive index
Signal Processing
Journal of Visual Communication and Image Representation
An encoding method for both image compression and data lossless information hiding
Journal of Systems and Software
Huffman-code strategies to improve MFCVQ-based reversible data hiding for VQ indexes
Journal of Systems and Software
Information Sciences: an International Journal
A novel technique for image steganography based on a high payload method and edge detection
Expert Systems with Applications: An International Journal
Reversible Steganography for BTC-compressed Images
Fundamenta Informaticae
Three-Phase Lossless Data Hiding Method for the VQ Index Table
Fundamenta Informaticae
New Bit Reduction of Vector Quantization Using Block Prediction and Relative Addressing
Fundamenta Informaticae
Adaptive Data Embedding Scheme Based on Similar and Dissimilar Clustering Strategies
Fundamenta Informaticae
Block Prediction Vector Quantization for Grayscale Image Compression
Fundamenta Informaticae
Reversible Data Embedding Based on Prediction Approach for VQ and SMVQ Compressed Images
Fundamenta Informaticae
Embedding Invisible Watermarks into Digital Images Based on Side-Match Vector Quantization
Fundamenta Informaticae
A novel VQ-based reversible data hiding scheme by using hybrid encoding strategies
Journal of Systems and Software
Information Sciences: an International Journal
Low bit-rate information hiding method based on search-order-coding technique
Journal of Systems and Software
Journal of Visual Communication and Image Representation
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A class of vector quantizers with memory that are known as finite state vector quantizers (FSVQs) in the image coding framework is investigated. Two FSVQ designs, namely side match vector quantizers (SMVQs) and overlap match vector quantizers (OMVQs), are introduced. These designs take advantage of the 2-D spatial contiguity of pixel vectors as well as the high spatial correlation of pixels in typical gray-level images. SMVQ and OMVQ try to minimize the granular noise that causes visible pixel block boundaries in ordinary VQ. For 512 by 512 gray-level images, SMVQ and OMVQ can achieve communication quality reproduction at an average of 1/2 b/pixel per image frame, and acceptable quality reproduction. Because block boundaries are less visible, the perceived improvement in quality over ordinary VQ is even greater. Owing to the structure of SMVQ and OMVQ, simple variable length noiseless codes can achieve as much as 60% bit rate reduction over fixed-length noiseless codes